242 related articles for article (PubMed ID: 32480267)
21. [Characteristics of high resolution diffusion weighted imaging apparent diffusion coefficient histogram and its correlations with cancer stages in patients with nasopharyngeal carcinoma].
Wang GJ; Wang Y; Ye Y; Chen F; Lu YT; Li SL
Zhonghua Yi Xue Za Zhi; 2017 Nov; 97(41):3244-3249. PubMed ID: 29141363
[No Abstract] [Full Text] [Related]
22. Magnetic Resonance Imaging Features on Deep Learning Algorithm for the Diagnosis of Nasopharyngeal Carcinoma.
Huang R; Zhou Z; Wang X; Cao X
Contrast Media Mol Imaging; 2022; 2022():3790269. PubMed ID: 35677026
[TBL] [Abstract][Full Text] [Related]
23. Can Arterial Spin Labeling Perfusion Imaging be Used to Differentiate Nasopharyngeal Carcinoma From Nasopharyngeal Lymphoma?
Sun Z; Hu S; Ge Y; Jin L; Huang J; Dou W
J Magn Reson Imaging; 2021 Apr; 53(4):1140-1148. PubMed ID: 33225524
[TBL] [Abstract][Full Text] [Related]
24. Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.
Cui C; Wang S; Zhou J; Dong A; Xie F; Li H; Liu L
Biomed Res Int; 2020; 2020():8068913. PubMed ID: 32149139
[TBL] [Abstract][Full Text] [Related]
25. Value of Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Prediction of Treatment Outcomes in Nasopharyngeal Carcinoma.
Paprad T; Lertbutsayanukul C; Jittapiromsak N
J Comput Assist Tomogr; 2022 Jul-Aug 01; 46(4):664-672. PubMed ID: 35483078
[TBL] [Abstract][Full Text] [Related]
26. Comparison of the pre-treatment functional MRI metrics' efficacy in predicting Locoregionally advanced nasopharyngeal carcinoma response to induction chemotherapy.
Zhao DW; Fan WJ; Meng LL; Luo YR; Wei J; Liu K; Liu G; Li JF; Zang X; Li M; Zhang XX; Ma L
Cancer Imaging; 2021 Nov; 21(1):59. PubMed ID: 34758876
[TBL] [Abstract][Full Text] [Related]
27. Diffusion kurtosis imaging predicts neoadjuvant chemotherapy responses within 4 days in advanced nasopharyngeal carcinoma patients.
Chen Y; Ren W; Zheng D; Zhong J; Liu X; Yue Q; Liu M; Xiao Y; Chen W; Chan Q; Pan J
J Magn Reson Imaging; 2015 Nov; 42(5):1354-61. PubMed ID: 25873208
[TBL] [Abstract][Full Text] [Related]
28. A comparison between the Chinese 2008 and the 7th edition AJCC staging systems for nasopharyngeal carcinoma.
Pan J; Xu Y; Qiu S; Zong J; Guo Q; Zhang Y; Lin S; Lu JJ
Am J Clin Oncol; 2015 Apr; 38(2):189-96. PubMed ID: 23608833
[TBL] [Abstract][Full Text] [Related]
29. The investigation of reduced field-of-view diffusion-weighted imaging (DWI) in patients with nasopharyngeal carcinoma: comparison with conventional DWI.
Meng T; Liu H; Liu J; Wang F; Xie C; Ke L; He H
Acta Radiol; 2023 Jun; 64(6):2118-2125. PubMed ID: 36912041
[TBL] [Abstract][Full Text] [Related]
30. Investigating the correlation of arterial spin labeling and dynamic contrast enhanced perfusion in primary tumor of nasopharyngeal carcinoma.
Lin M; Yu X; Luo D; Ouyang H; Xie L; Wu B; Zhou C
Eur J Radiol; 2018 Nov; 108():222-229. PubMed ID: 30396660
[TBL] [Abstract][Full Text] [Related]
31. The diagnostic value of 1.5-T diffusion-weighted MR imaging in detecting 5 to 10 mm metastatic cervical lymph nodes of nasopharyngeal carcinoma.
Jin GQ; Yang J; Liu LD; Su DK; Wang DP; Zhao SF; Liao ZL
Medicine (Baltimore); 2016 Aug; 95(32):e4286. PubMed ID: 27512841
[TBL] [Abstract][Full Text] [Related]
32. Prediction of short-term treatment outcome of nasopharyngeal carcinoma based on voxel incoherent motion imaging and arterial spin labeling quantitative parameters.
Liao L; Liu T; Wei B
Eur J Radiol Open; 2023; 10():100466. PubMed ID: 36590328
[TBL] [Abstract][Full Text] [Related]
33. In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI.
Huang WY; Li MM; Lin SM; Chen F; Yang K; Zhu XL; Wu G; Li JJ
Sci Rep; 2018 Oct; 8(1):15861. PubMed ID: 30367176
[TBL] [Abstract][Full Text] [Related]
34. [High resolution diffusion-weighted imaging for characterising nasopharyngeal carcinoma].
Wang Y; Wang GJ; Ye Y; Lu YT; Wu WH; Li SL
Zhonghua Yi Xue Za Zhi; 2017 May; 97(17):1303-1306. PubMed ID: 28482430
[No Abstract] [Full Text] [Related]
35. Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images.
Yang Q; Guo Y; Ou X; Wang J; Hu C
J Magn Reson Imaging; 2020 Oct; 52(4):1074-1082. PubMed ID: 32583578
[TBL] [Abstract][Full Text] [Related]
36. Staging of T2 and T3 nasopharyngeal carcinoma: Proposed modifications for improving the current AJCC staging system.
Cui C; Li H; Ma H; Dong A; Xie F; Liang S; Li L; Zhou J; Xie C; Yan Y; Liu L
Cancer Med; 2020 Oct; 9(20):7572-7579. PubMed ID: 32871059
[TBL] [Abstract][Full Text] [Related]
37. Diffusion weighted magnetic resonance imaging of pre and post treatment nasopharyngeal carcinoma.
Hirshoren N; Damti S; Weinberger J; Meirovitz A; Sosna J; Eliashar R; Eliahou R
Surg Oncol; 2019 Sep; 30():122-125. PubMed ID: 31500774
[TBL] [Abstract][Full Text] [Related]
38. A new staging system for nasopharyngeal carcinoma based on intensity-modulated radiation therapy: results of a prospective multicentric clinical study.
Kang M; Long J; Li G; Yan H; Feng G; Liu M; Zhu J; Wang R
Oncotarget; 2016 Mar; 7(12):15252-61. PubMed ID: 26918446
[TBL] [Abstract][Full Text] [Related]
39. Predicting chemoradiotherapy response of nasopharyngeal carcinoma using texture features based on intravoxel incoherent motion diffusion-weighted imaging.
Qin Y; Yu X; Hou J; Hu Y; Li F; Wen L; Lu Q; Fu Y; Liu S
Medicine (Baltimore); 2018 Jul; 97(30):e11676. PubMed ID: 30045324
[TBL] [Abstract][Full Text] [Related]
40. Application value of 3D pCASL in early assessment of potential radiation encephalopathy in nasopharyngeal carcinoma patients undergoing radiotherapy.
He Y; Guo J; Ding Y; Zhou L; Jiang X; Zhen C; Wu Q
Br J Radiol; 2023 Sep; 96(1149):20200448. PubMed ID: 37393533
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
